Are you hoping that AI is the magic bullet for all your data management problems? Is it your dream to build a custom model out of all your data and then just ask the system instead of relying on expensive consultants? You are not the only one.
And you know what? One day it might actually happen. But not today. And not tomorrow.
In the meantime this presents a bit of a dilemma. Data management projects are notoriously expensive and failure-prone. It would be a waste to spend millions now with an uncertain payoff when the future might be around the corner. At the same time, doing nothing is not an option either because there is no guarantee that this AI thing is going to deliver on its promises.
If you are in this situation, why not consider doing a no-regret investment in getting the basics right? Setting up a strong foundation is never wasted money, because at the very least it will make any future project more likely to succeed, including an AI implementation. This is about managing controlled vocabularies, lists and schemas. Permanent URIs. Documentation. Metadata schemas. Nothing fancy, always taken for granted but more often than not failing.
Enter Sidestnd, our premier tool for working with metadata resources. Sidestnd bridges the traditional gap between resource management and resource usage by production systems. It is aimed at metadata resources that have a long life - years. Are you sure you'll be able to figure out in 2030 which version of a controlled vocabulary was used in 2025? Sidestnd is there to help.
If you feel that your data management foundation can be improved, then contact groundworkdatamanagement to get more info.